Apollo mission audio/images in realtime (obviously we have never been to the moon, they did all this with photoshop in the 70s 🙂 ) https://apolloinrealtime.org/
Emissions fell by 4% in Q1 and 2.6% in Q2, while GDP grew by 0.3% and 1%, respectively, compared to the same quarters in 2023, according to the latest statistics. This demonstrates that climate action and economic growth can go hand in hand : https://ec.europa.eu/eurostat/en/web/products-eurostat-news/w/ddn-20241115-2
LangChain: The oldest and most comprehensive framework, offering extensive integrations but often criticized for its steep learning curve and boilerplate code.
LlamaIndex: Primarily focused on data-intensive applications, excelling at connecting language models to external data sources through advanced retrieval and indexing.
AutoGen (Microsoft): A multi-agent framework that shines at creating conversational agents that can collaborate and delegate tasks to solve complex problems.
CrewAI: Designed for orchestrating role-playing autonomous agents, making it easy to define agents with specific jobs and have them work together in a structured crew.
AgentVerse: A versatile framework that provides a “lego-like” approach to building and composing customized multi-agent environments for various applications.
ChatDev: A “virtual software company” framework where different agents (CEO, programmer, tester) simulate a software development lifecycle to complete coding tasks.
SuperAGI: A developer-centric framework focused on building autonomous agents with useful features like provisioning, deployment, and a graphical user interface.
AI Droid (by Vicuna): A lightweight and fast framework designed for mobile and edge devices, prioritizing efficiency and low-resource consumption.
GPTeam: Similar to ChatDev, this framework uses role-playing agents (like product managers and engineers) to collaboratively work on development tasks from a single prompt.
Agenta: An open-source platform that helps developers evaluate, test, and deploy language model applications with features for prompt management and A/B testing.
OpenAI Assistants API: OpenAI’s native solution for building stateful, assistant-like agents directly on their platform, handling conversation history and tool integration internally.
LangGraph: Built on LangChain, this framework is specifically for creating cyclical, stateful multi-agent workflows, treating agent interactions as steps in a graph.
Alpine.js : Alpine is a rugged, minimal tool for composing behavior directly in your markup. Think of it like jQuery for the modern web. Plop in a script tag and get going.
Something in between a Product Manager and a Software Engineer : Product Engineer i.e. PMs are sometimes not enough technical and SWEs are sometimes not enough product oriented https://refactoring.fm/p/how-to-become-a-product-engineer
Meta, for instance, trained its new Llama 3 models with about 10 times more data and 100 times more compute than Llama 2. Amid a chip shortage, it used two 24,000 GPU clusters, with each chip running around the price of a luxury car. It employed so much data in its AI work, it considered buying the publishing house Simon & Schuster to find more.
Redis forks (after the licence change) : – redict : https://redict.io/ Drew DeVault + others? – valkey : https://valkey.io/ backed by AWS, Google, Oracle, Ericsson, and Snap, with the Linux Foundation; more to come imo.
golang fasthttp (replacement for standard net/http if you need “to handle thousands of small to medium requests per second and needs a consistent low millisecond response time”. “Currently fasthttp is successfully used by VertaMedia in a production serving up to 200K rps from more than 1.5M concurrent keep-alive connections per physical server.” https://github.com/valyala/fasthttp
I find truly interesting the point around promoting a write culture (Execs/Directors in tech blog, SWEs on tech blogs/internal technical documents) : https://newsletter.pragmaticengineer.com/i/140970283/writing-culture I’m a long-time believer that writing clarifies thinking more than talking and writing persists information, makes it searchable, talking does not. “Verba volant, scripta manent” as the Latins use to say. But this idea shifted into “just enough” documentation (which means it is not necessary) in SW engineering latest methodologies so it is interesting that a multi billion company like stripe is going totally against the tide.
HTTP (REST) and WebSocket, with support for end-to-end encryption (E2EE)
Identity Management
Tied to server domain (e.g., @user@domain.com), uses WebFinger for discovery
Portable DIDs for decentralized identity
Tied to server domain but portable; user ID format is @user:domain.com
Federation
Federated, allowing instances to share content and social connections across domains
Federated with content and algorithm control
Federated, with real-time, synchronized state across servers
Interoperability
Widely interoperable with other ActivityPub-compliant platforms in the Fediverse
Designed for custom app experiences, interoperability is in development
Supports interoperability with other Matrix clients; bridges to other protocols (e.g., Slack, IRC)
End-to-End Encryption
Not native to protocol but possible with extensions
Not natively specified
Built-in and widely supported, particularly in 1:1 and group chats
Moderation
Instance-based moderation policies, customizable filters and blocks
User-level and instance-level moderation, customizable algorithms
Room-level moderation, with granular permissions for room admins
Popular Platforms
Mastodon, PeerTube, Pixelfed, WriteFreely
Bluesky Social, upcoming decentralized apps
Element (main Matrix client), Synapse (server), bridges for Slack, Discord, Telegram, etc.
Summary of Key Differences
ActivityPub is best suited for federated social networking, particularly for applications that prioritize openness and content sharing across platforms in the Fediverse. It uses an Activity-Object model with JSON-LD and supports instance-based identity.
AT Protocol focuses on user control over content algorithms and portable identities using DIDs, with a vision for interoperability in custom social applications. It is also designed for federated social networks but with more control over data portability and algorithmic transparency.
Matrix Protocol excels in real-time, federated communication, supporting secure, encrypted messaging with granular moderation capabilities. It’s heavily used for chat, VoIP, and collaborative tools, emphasizing interoperability with other platforms through bridges.
